An Anti-statistical Analysis LSB Steganography Incorporating Extended Cat-Mapping
In this paper, we propose a modified LSB steganography which resists most of the popular statistical analysis-based steganalysis, such as SPA (Sample Pair Analysis) and RS. The modified algorithm does not solely depends on embedding secret message into the cover image as the conventional LSB watermarking method does, but increases or decreases the candidate pixels value by two in accordance with the number of the pixels surrounding pixels whose LSB is positive. We discuss on the basic principle of the proposed algorithm and experiments show that the improved LSB steganography has a good robustness to statistical analysis. An extended cat-mapping is introduced in this paper which will better encrypt the secret message than the standard cat mapping. Experiments show the histogram of the encrypted image will be flat and resembles the white noises histogram, which significantly enhances the security of the algorithm.
Wenxiao Chen Jing Cai Siwei Li
Department of Communication and Information Engineering Nanjing University of Posts and Telecommunications P. R. China
国际会议
7th International Symposium,APPT 2007(第7届高级并行处理技术大会)
广州
英文
468-476
2007-11-22（万方平台首次上网日期，不代表论文的发表时间）